Creating Copilot Agents in SharePoint Deep Dive w/ Microsoft

Summary

In this insightful video, Alex discusses the exciting development of a new feature that enhances productivity through user feedback and customizable settings. He emphasizes the importance of community input during the private preview phase, encouraging admins to share their thoughts on how they envision using the feature. The conversation highlights the ongoing evolution of the product and the commitment to making it more user-friendly. Viewers are invited to engage with the content, subscribe for updates, and contribute their feedback to shape the future of this innovative tool.

Takeaways

• 🚀 Copilot features are designed to enhance user productivity and streamline workflows.
• 🛠️ Admins will have control over which Copilot features can be enabled or disabled, ensuring tailored user experiences.
• 🔒 Users will have the ability to create private libraries with specific permissions for Copilot files.
• 🌐 Feedback from customers is vital in shaping the development of new features and functionalities.
• 📝 A private preview phase will precede a public preview, allowing users to test features and provide insights.
• 🔧 The development team is still in the early stages, meaning further adjustments will be made based on user feedback.
• 💬 The importance of community feedback emphasizes a collaborative approach in product development.
• 🔍 Users are encouraged to submit scenarios and feedback on how they wish to use the Copilot features.
• 📅 The timeline for feature updates suggests an ongoing commitment to improving the user experience.
• 🤝 Open communication between the development team and users is key to creating effective tools.

Q & A

What is the primary focus of the new feature being discussed?

The primary focus is on enhancing collaboration through the integration of AI copilots within the Microsoft product ecosystem.

How can users submit their feedback during the feature's development?

Users can submit their feedback through forms provided during the private preview phase, which will help shape the product before it moves to public preview.

What is the significance of the private preview phase mentioned?

The private preview phase allows selected users to test the new feature and provide feedback, which is crucial for refining the product before its public release.

What are some potential use cases for the copilots discussed?

Potential use cases include helping users with repetitive tasks, enhancing productivity, and providing context-specific assistance in various applications.

Who will have the ability to modify the copilots stored in the library?

Only admins will have the permissions to modify the copilots stored in the library, ensuring controlled access and management.

What should users consider when providing feedback on the new feature?

Users should consider how they want to use the feature, the control options for admins, and any additional scenarios they envision for its application.

What does Alex imply about the future of the AI copilots?

Alex implies that the development of AI copilots is still in its early stages and will evolve based on user feedback and needs.

How does the feature aim to enhance the user experience?

The feature aims to enhance the user experience by providing tailored assistance and improving efficiency in workflows through intelligent AI integration.

What are the planned steps after the private preview?

After the private preview, the feature will move to a public preview, where broader user access will allow for more extensive feedback and testing.

What was the tone of the discussion regarding the feature's development?

The tone was optimistic and collaborative, with a strong emphasis on the importance of community feedback in shaping the feature's future.